LLMs are basically big “text predictors” that try to generate outputs based on what it expects is the most likely desired output based on what the user provides as the text-based input, the prompt. Prompts are natural language instructions for an LLM provided by a human so that it will deliver the desired results you’re looking for. Continue reading Prompt Engineering Best Practices: Using a Prompt Pattern [AI Today Podcast] at Cognilytica....
Apr 10, 2024•33 min•Ep 429•Transcript available on Metacast AI is helping to re-imagine experiences of all sorts, including air travel. At the 2024 SXSW Conference and Festivals Bernadette Berger, who is Director of Innovation at Alaska Airlines presents on “The Sky’s the Limit: How AI will Re-imagine Airports”. In this episode of the AI Today podcast hosts and AI thought leaders Kathleen Walch and Ron Schmelzer have the opportunity to interview Bernadette. Continue reading How AI will Re-imagine Air Travel: Interview with Bernadette Berger, Alaska Airli...
Apr 05, 2024•26 min•Ep 428•Transcript available on Metacast AI is having an impact on every industry, including healthcare. AI’s impact in the practice of medicine is helping to reshape the practice of medicine both now, and in the future. In this episode of the AI Today podcast we interview Dr. Jag Singh. He is a Professor of Medicine at Harvard Medical School, focusing on the application of AI in the practice of medicine. Continue reading AI’s impact in the practice of medicine: Interview with Dr. Jag Singh, Mass General Brigham [AI Today Podcast] at C...
Apr 03, 2024•29 min•Ep 427•Transcript available on Metacast During the SXSW 2024 event, Wei Li presented on AI Everywhere with Software and Hardware. In this episode of the AI Today podcast we interview Wei Li. He is VP/GM of the AI Software Engineering Team at Intel. He shares with what insights from that talk and what he means by AI being everywhere in both hardware and software. Continue reading AI Everywhere with Software and Hardware: Interview with Wei Li, Intel [AI Today Podcast] at Cognilytica....
Mar 29, 2024•34 min•Ep 426•Transcript available on Metacast As organizations continue to adopt AI the idea of innovation and sustainability are becoming important conversations. Intel wants to accelerate AI adoption by lowering barriers to entry for customers. In this episode of the AI Today podcast we interview Nuri Cankaya. He is the VP of AI Marketing at Intel. Nuri sheds light on the myriad challenges faced by companies as they navigate the integration of AI with real-world data. Continue reading Lowering Barriers to Entry for AI: Interview with Nuri...
Mar 27, 2024•28 min•Ep 425•Transcript available on Metacast AI is having an impact on just about every industry and healthcare is no exception. In this episode of the AI Today podcast Cognilytica AI thought leaders Kathleen Walch and Ron Schmelzer interview Dr. Jesse Ehrenfeld. He is President of the American Medical Association (AMA). He also recently spoke at the 2024 SXSW Conference and Festivals. Continue reading AI’s Impact on Healthcare: Interview with Dr. Jesse Ehrenfeld, AMA [AI Today Podcast] at Cognilytica....
Mar 22, 2024•24 min•Ep 424•Transcript available on Metacast The people side of AI is changing. Generative AI is reshaping how teams brainstorm, collaborate, and embrace the future. In this episode of the AI Today podcast we interview Ian Beacraft who is CEO at Signal and Cipher, and also CPMAI certified. Is AI helping or hurting society? In recent years the idea of responsible, ethical, and trustworthy AI has gained a lot of attention. Continue reading The People Side of AI: Interview with Ian Beacraft, Signal and Cipher [AI Today podcast] at Cognilytica...
Mar 20, 2024•19 min•Ep 423•Transcript available on Metacast The Explainable AI Layer of the Cognilytica Trustworthy AI Framework addresses the technical methods that go into understanding system behavior and make black boxes less so. In this episode of the AI Today podcast Cognilytica AI experts Ron Schmelzer and Kathleen Walch discuss the interpretable and explainable AI layer. The Explainable AI Layer Separate from the notion of transparency of AI systems is the concept of AI algorithms being able to explain how they arrived at particular decisions. Co...
Mar 15, 2024•7 min•Ep 422•Transcript available on Metacast Who is on the AI Team? Continue reading Who is on the AI Team? [AI Today podcast] at Cognilytica....
Mar 13, 2024•25 min•Ep 421•Transcript available on Metacast Anyone looking to use and/or develop AI systems need ways that maintain trust, provide visibility and transparency, and utilize processes and methods that can provide greater oversight and accountability for potent AI systems that need to address – the layers of trustworthy AI. In this episode of the AI Today podcast Cognilytica thought leaders Kathleen Walch and Ron Schmelzer go over the Governed AI layer of the Cognilytica Trustworthy AI Framework. Continue reading Governed AI Concepts [AI Tod...
Mar 08, 2024•16 min•Ep 420•Transcript available on Metacast What are you really spending on in an AI Project? This is a question we often get asked. So, we wanted to spend some time on this podcast to discuss how to determine AI project costs. First, it’s important to remember that it all comes down to scope. Our motto: Think Big. Start Small. Continue reading Determining AI Project Costs [AI Today Podcast] at Cognilytica....
Mar 06, 2024•17 min•Ep 419•Transcript available on Metacast AI system transparency is about how we manage and run our AI systems. Transparency needs to address how you plan to provide visibility or transparency into how AI systems are created or applied. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the transparent layer of AI as part of Cognilytica’s Trustworthy AI Framework. Continue reading Transparent AI Concepts [AI Today Podcast] at Cognilytica....
Mar 04, 2024•7 min•Ep 418•Transcript available on Metacast The best practice for any high risk, emerging technology project with ill-defined goals is: Think Big. Start Small. Iterate Often. But, what does that really mean? How do you think big? And how do you start small? What does iteration look like? And how does this connect to project scope? In this episode of the AI Today podcast we discuss what it means to think big when it comes to AI. Continue reading Properly Scoping AI Projects [AI Today Podcast] at Cognilytica....
Feb 28, 2024•30 min•Ep 417•Transcript available on Metacast In the context of technology adoption, “crossing the chasm” refers to the pivotal moment when an emerging technology moves beyond the early adopters and innovators phase to reach the early majority of users. This concept, popularized by Geoffrey A. Moore in his book “Crossing the Chasm,” highlights the gap or “chasm” that exists between the initial acceptance of a technology by enthusiasts and visionaries and its broader acceptance by a more pragmatic, mainstream market. Continue reading Has AI ...
Feb 23, 2024•23 min•Ep 416•Transcript available on Metacast What is pseudo AI? While AI is all about machines that have the intelligence like people, Pseudo AI or “AI washing” is when a company or product claims that AI is being used for a specific task or feature, but in reality, it’s people doing that task. In the startup world, “faking it until you make it”, is a common practice. Continue reading Pseudo AI: Still a Thing, Still a Problem [AI Today Podcast] at Cognilytica....
Feb 21, 2024•12 min•Ep 415•Transcript available on Metacast What is Data Debt? Organizations are awash with data. And data has been growing at organizations for decades. Data is accumulating across many different systems, processes, and as organizations evolve, merge, and change. What comes out of this is the idea of data debt, which is the accumulation of data-related problems over time as a result of the accumulation of data systems. Continue reading AI Education Series: Data Debt [AI Today Podcast] at Cognilytica....
Feb 16, 2024•7 min•Ep 414•Transcript available on Metacast What is a responsible AI? AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas. Continue reading Trustworthy AI Series: Responsible AI...
Feb 14, 2024•14 min•Ep 413•Transcript available on Metacast What can possibly go wrong when you embed someone else’s AI models in your systems? This episode of the AI Today podcast aims to answer this question. And, provide alternative options to Open Source AI. Despite the increasingly walled garden that is becoming the Large Language Models (LLMs) such as OpenAI’s ChatGPT, organizations are creating and embedding AI solutions powered by third-party models they have little visibility and control into. Continue reading The Increasingly Anti-Competitive W...
Feb 09, 2024•37 min•Ep 412•Transcript available on Metacast What are the 5 ethics in artificial intelligence? AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Continue reading Trustworthy AI Series: Ethical AI Concepts [AI Today Podcast] at Cognilytica....
Feb 07, 2024•19 min•Ep 411•Transcript available on Metacast What is a Chief AI Officer (CAIO)? There has been a lot of talk lately, including a new executive order in the US, about the need for a Chief AI Officer. But, what is this role? And, is it really needed? We wanted to spend some time in today’s podcast revisiting a topic we first wrote about in 2019. Continue reading Do you need a Chief AI Officer? [AI Today Podcast] at Cognilytica....
Feb 02, 2024•22 min•Ep 410•Transcript available on Metacast In an era where Artificial Intelligence is revolutionizing various industries, professionals equipped with the right skills and certifications are in high demand. The Certified Project Management for AI (CPMAI) certification is a game-changer for those seeking to excel in planning, managing, and executing AI and ML projects. And for those looking to grow critical AI and data skills. Continue reading Growing Key AI and Data Skills with CPMAI: Interview with Selvie Thevathasan [AI Today Podcast] a...
Jan 31, 2024•22 min•Ep 409•Transcript available on Metacast How can AI be trustworthy? AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough for organizations. You need to know how to build, use, and interact with these systems ethically and responsibly. Continue reading The Layers of Trustworthy AI Revisited [AI Today Podcast] at Cognilytica....
Jan 26, 2024•17 min•Ep 408•Transcript available on Metacast It’s hard to have a conversation about AI these days without the topics of Generative AI and Large Language Models (LLMs) coming up. And, Large Language Models (LLMs) have been proving useful for a variety of things such as helping write text, write code, generate images, and help augment human workers. However, as people are using LLMs, they are demanding even greater accuracy and relevance to their specific industry and/or topic area. Continue reading AI Glossary Series: Retrieval Augmented Ge...
Jan 24, 2024•20 min•Ep 407•Transcript available on Metacast In today’s fast paced landscape, AI has emerged as a transformative technology. It’s being used as an augmented intelligence tool to help people do their job and tasks better. AI is also being used to help people create content and art. It’s being used to make decisions, both big and small. Loan decisions, product recommendations, movie recommendations, and so much more. Continue reading Overview of the Comprehensive Trustworthy AI Framework [AI Today Podcast] at Cognilytica....
Jan 19, 2024•12 min•Ep 406•Transcript available on Metacast How many categories of AI are there? Artificial Intelligence and machine learning is maturing considerably. You can now find AI projects in every industry. At Cognilytica, we spend a considerable amount of time on use cases and how different industries are using AI. As we analyze hundreds of different use cases, interact with many customers, deliver our AI and ML training courses, and write dozens of articles we find that there are seven common patterns that seem to continuously show up in all t...
Jan 17, 2024•22 min•Ep 405•Transcript available on Metacast Companies of all sizes in just about every single industry across the globe are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for professionals who are CPMAI certified and follow the CPMAI methodology. Continue reading Applying CPMAI Methodology to AI Projects: Interv...
Jan 12, 2024•29 min•Ep 404•Transcript available on Metacast Facial recognition falls under the recognition pattern of AI. On it’s own the technology is neutral. However, it’s the application and use (or misuse) of this technology that can have severe consequences. Rite Aid is one of the most recent companies to come under fire for their use of facial recognition. In this episode of the AI Today podcast we explore what happened that that caused the FTC to give retailer Rite Aid fa facial recognition ban for 5 years. Continue reading Trustworthy AI Best Pr...
Jan 10, 2024•25 min•Ep 403•Transcript available on Metacast Hyperpersonalization is focused on machine learning approaches that can develop a profile of an individual that can evolve over time rather than categorizing or “bucketing” an individual into a pre-defined category. One of the seven patterns of AI, the goal is to treat each individual as an individual. As you can imagine, this is a marketers dream. Continue reading AI Today Podcast: Hyperpersonalization at Diageo: Interview with Nick Owen, Diageo at Cognilytica....
Jan 05, 2024•20 min•Ep 402•Transcript available on Metacast AI projects are really data-centric projects. After all, data is the heart of AI. So it should come as no surprise that project managers who are managing AI projects need to move beyond just general project management skills. These provide a good foundation for managing schedules, resources, and the people needed to meet organizational goals. Continue reading AI Today Podcast: The Critical AI and Data Skills Needed for AI Project Managers at Cognilytica....
Jan 03, 2024•25 min•Ep 401•Transcript available on Metacast In this episode of the AI Today podcast we want to look at some of the biggest trends in AI, including where AI is headed in 2024 and what this means for you. Generative AI Gets Embedded in Everything The ease and availability of Generative AI makes it easy to embed in everything. Continue reading AI Today Podcast: Looking ahead at AI (and AI Today) in 2024 at Cognilytica....
Dec 27, 2023•43 min•Ep 400•Transcript available on Metacast 
